{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "current_dir = os.path.abspath('.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/axu/Code/axuProject/Learn/learn_python_machine_learning/data.csv'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_path = \"{}/data.csv\".format(current_dir)\n",
    "data_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = [\"type_1\", \"type_2\", \"type_3\", \"type_4\", \"voice_number\", \"rule_number\", \"keywords_number\", \"execute_time\"]\n",
    "df = pd.read_csv(data_path, header=None, sep=\",\")\n",
    "df.columns = cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\", context=\"notebook\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sns.pairplot(df[cols], size=2.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110870b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "cm = np.corrcoef(df[cols].values.T)\n",
    "sns.set(font_scale=1.5)\n",
    "# 皮尔逊积矩阵相关系数\n",
    "hm = sns.heatmap(cm,\n",
    "                cbar=True,\n",
    "                annot=True,\n",
    "                square=True,\n",
    "                fmt=\".2f\",\n",
    "                annot_kws={\"size\": 15},\n",
    "                yticklabels=cols,\n",
    "                xticklabels=cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 7335.18963853, 11852.50849741])"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df[[\"voice_number\", \"keywords_number\"]].values\n",
    "y = df[\"execute_time\"].values\n",
    "from sklearn.linear_model import LinearRegression\n",
    "slr = LinearRegression()\n",
    "slr.fit(x, y)\n",
    "data = [[300000, 200], [500000, 200]]\n",
    "_df = pd.DataFrame(data)\n",
    "slr.predict(_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df[[\"voice_number\"]].values\n",
    "y = df[\"execute_time\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "slr = LinearRegression()\n",
    "slr.fit(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slope: 0.025\n",
      "Lntercept: -42.009\n"
     ]
    }
   ],
   "source": [
    "print(\"Slope: %.3f\" % slr.coef_[0])\n",
    "print(\"Lntercept: %.3f\" % slr.intercept_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "def lin_regplot(X, Y, model):\n",
    "    plt.scatter(X, Y, c=\"blue\")\n",
    "    plt.plot(X, model.predict(X), color=\"red\")\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f3b8950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lin_regplot(x, y, slr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.iloc[:, :-1].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = df[\"execute_time\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cross_validation import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slr = LinearRegression()\n",
    "slr.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred = slr.predict(x_train)\n",
    "y_test_pred = slr.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11038fe90>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110318fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_train_pred, y_train_pred - y_train, c=\"blue\", marker=\"o\", label=\"Training Data\")\n",
    "plt.scatter(y_test_pred, y_test_pred - y_test, c=\"lightgreen\", marker=\"s\", label=\"Test Data\")\n",
    "plt.legend(loc=\"upper left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R^2 train: 0.900\n",
      "R^2 test: 0.853\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "print(\"R^2 train: %.3f\" % r2_score(y_train, y_train_pred))\n",
    "print(\"R^2 test: %.3f\" % r2_score(y_test, y_test_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9632.77264064, 9738.5809294 ])"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slr = LinearRegression()\n",
    "slr.fit(x, y)\n",
    "# [\"type_1\", \"type_2\", \"type_3\", \"type_4\", \"voice_number\", \"rule_number\", \"keywords_number\", \"execute_time\"]\n",
    "data = [[0, 0, 0, 1, 300000, 1, 200], [0, 0, 1, 0, 500000, 1, 200]]\n",
    "_df = pd.DataFrame(data)\n",
    "slr.predict(_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "x = df[[\"voice_number\"]].values\n",
    "y = df[\"execute_time\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor(criterion='mse', max_depth=3, max_features=None,\n",
       "           max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "           min_impurity_split=None, min_samples_leaf=1,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           presort=False, random_state=None, splitter='best')"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree = DecisionTreeRegressor(max_depth=3)\n",
    "tree.fit(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9623., 9623.])"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1106fab90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sort_idx = x.flatten().argsort()\n",
    "lin_regplot(x[sort_idx], y[sort_idx], tree)\n",
    "tree\n",
    "\n",
    "data = [[300000], [500000]]\n",
    "_df = pd.DataFrame(data)\n",
    "tree.predict(_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9623.    , 1918.3125])"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# x = df.iloc[:, :-1].values\n",
    "# y = df[\"execute_time\"].values\n",
    "# tree1 = DecisionTreeRegressor(max_depth=3)\n",
    "# tree1.fit(x, y)\n",
    "# data = [[0, 0, 0, 1, 300000, 1, 200], [0, 0, 1, 0, 500000, 1, 200]]\n",
    "# _df = pd.DataFrame(data)\n",
    "# tree1.predict(_df)\n",
    "\n",
    "x = df[[\"voice_number\", \"keywords_number\"]].values\n",
    "y = df[\"execute_time\"].values\n",
    "tree1 = DecisionTreeRegressor(max_depth=3)\n",
    "tree1.fit(x, y)\n",
    "data = [[300000, 200], [500000, 200]]\n",
    "_df = pd.DataFrame(data)\n",
    "tree1.predict(_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
